Top Data & Analytics Jobs

Lead end-to-end delivery of complex data and analytics programmes, advise executive stakeholders, drive business development and account growth, build local Data & Analytics capability in Riyadh/Dubai, and mentor high-performing teams.

Senior SAS developer responsible for designing, developing, and optimizing SAS programs and ETL workflows. Work includes Base SAS, macros, PROC SQL, SAS DI Studio and EG, scheduling (LSF), Unix/shell scripting, performance tuning of SAS servers, and transforming banking data for enterprise data warehouses. Collaborate with clients, QA, DBAs and support teams.

Lead WAM data architecture and cloud transformation engagements: define enterprise data strategies, design canonical WAM data models, architect cloud-native data platforms, integrate core WAM systems, establish data quality and control frameworks, and advise senior stakeholders on technical-to-business translation.

Seeking an experienced GCP Data Engineer to develop, maintain data pipelines, and optimize SQL queries in BigQuery, collaborating with teams to deliver data solutions.

As a Mid-level Applied AI Data Scientist, you will apply statistical methods and machine learning to derive business insights from data and create Tableau visualizations.

Design and deliver logical and physical data models, integrate systems and data flows, drive enterprise data quality and governance, support data lake and reference data use cases, and ensure risk management and performance tuning across information systems.

Design and develop conceptual, logical, and application finance data models aligned with enterprise architecture. Collaborate with finance stakeholders, support transition to target state models, maintain modelling artefacts, ensure governance, compliance and data quality, and advise on data asset delivery and improvements.

Work with business and tech SMEs to document and control data points, capture and document business processes, support solution design and change management activities, track progress and assist implementation.

The role involves cleaning data, running machine learning models, developing data models, managing datasets, building dashboards, and documenting requirements.

As an AVP - Finance Data Quality, you will support data services for Finance regarding compliance and risk management, collaborate with IT and business stakeholders, and document data processes.